---
title: "Adv Dashboarding"
output: 
  flexdashboard::flex_dashboard:
    orientation: row
    vertical_layout: fill
    social: ["menu"]
    source_code: embed
    theme:
      version: 4
      bootswatch: sandstone
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
data("penguins")
```

Plots {data-navmenu="Pages"}
=========================================================

Sidebar{.sidebar}
---------------------------------------------------------
### Penguins Stats

The number of penguins in the data is `r nrow(penguins)`

Row
---------------------------------------------------------

### Number of penguins

```{r}
valueBox(nrow(penguins), icon = "fa-linux")
#fontawesome.com tons of awesome icons
```


Column {.tabset}
-----------------------------------------------------------------------

### Scatter plot of bill length vs bill depth

```{r}
a <- penguins %>% ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) +
  geom_point()
ggplotly(a)
```

Column {data-width=350}
-----------------------------------------------------------------------

### Chart B

```{r}
penguins %>% ggplot(aes(x = body_mass_g, y = sex, fill = sex)) +
  geom_boxplot()
```

### Chart C

```{r}
penguins %>% ggplot(aes(x = flipper_length_mm, fill = species)) +
  geom_histogram() +
  facet_wrap(~species)
```

Data {data-navmenu="Pages"}
=========================================================
```{r}
penguins %>% datatable(extensions = "Buttons",
                       options = list(dom = "Blfrtip",
                                      buttons = c("copy","csv","excel","pdf","print")))
```